Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems — mentioned by rch

Thu, 15 Sep 2022 22:15:26 GMT

Abstract link for convenience: https://arxiv.org/abs/2207.00521

Paper and discussion history. A mention is not an endorsement.

Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems — mentioned by isoprophlex

Thu, 15 Sep 2022 17:29:34 GMT

The researchers appear to use reservoir computing approaches, which usually aren't terribly costly in terms of cpu cycles. I'm unsure about real life applications though because one of the quoted papers [0] only uses idealized strange attractors or whatever they're called -- only systems described by math. I'd be very interested to learn how the methods apply to real-world mechanical chaotic systems. This isn't my field of expertise at all, maybe someone has some experience with this? [0] https://arxiv.org/pdf/2207.00521.pdf

Paper and discussion history. A mention is not an endorsement.

Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems · HackerPapers discussions

Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems — mentioned by rch

Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems — mentioned by isoprophlex